Microsoft Azure AI Fundamental Certification Course

Microsoft Azure AI Fundamental Certification Course Course

This Edureka course equips learners with hands-on experience across Azure’s AI services and readies them for the official AI-900 exam. Its balanced mix of theory, demos, and practice labs makes it ide...

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Microsoft Azure AI Fundamental Certification Course on Edureka — This Edureka course equips learners with hands-on experience across Azure’s AI services and readies them for the official AI-900 exam. Its balanced mix of theory, demos, and practice labs makes it ideal for beginners stepping into cloud AI.

Pros

  • Comprehensive coverage of all AI-900 exam objectives
  • Interactive labs in the Azure portal with guided walkthroughs
  • Includes mock exams and detailed answer explanations

Cons

  • Assumes basic Azure navigation skills
  • Limited deep-dive into custom machine learning pipelines

Microsoft Azure AI Fundamental Certification Course Course

Platform: Edureka

Instructor: Unknown

What will you learn in Microsoft Azure AI Fundamental Certification Course

  • Grasp core AI and machine learning concepts on Microsoft Azure.

  • Explore Azure Cognitive Services for vision, speech, language, and decision-making.

  • Build and train simple machine learning models using Azure ML studio.

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  • Implement computer vision solutions with Azure’s Vision APIs.

  • Utilize language services for text analytics, translation, and conversational AI.

  • Prepare for the Microsoft Azure AI Fundamentals (AI-900) certification exam.

Program Overview

Module 1: Introduction to Azure AI Fundamentals

⏳ 1 hour

  • Topics: Cloud basics, AI-900 exam objectives, Azure AI service overview.

  • Hands-on: Navigate the Azure portal, create a free AI resource group.

Module 2: Computer Vision Services

⏳ 1.5 hours

  • Topics: Image classification, object detection, OCR, custom vision.

  • Hands-on: Build an image-recognition app using the Custom Vision studio.

Module 3: Natural Language Processing

⏳ 1.5 hours

  • Topics: Text analytics, language understanding (LUIS), translator, QnA Maker.

  • Hands-on: Deploy a sentiment-analysis pipeline and a simple Q&A chatbot.

Module 4: Speech and Conversational AI

⏳ 2 hours

  • Topics: Speech-to-text, text-to-speech, speech translation, conversational bots.

  • Hands-on: Create a voice-enabled bot with Azure Bot Service.

Module 5: Azure Machine Learning Studio

⏳ 2 hours

  • Topics: Automated ML, drag-and-drop pipelines, model interpretability.

  • Hands-on: Train and deploy a regression model using Automated ML.

Module 6: Responsible AI and Governance

⏳ 1 hour

  • Topics: Fairness, transparency, privacy, compliance in AI solutions.

  • Hands-on: Apply built-in Responsible AI dashboard to assess bias.

Module 7: Exam Preparation & Best Practices

⏳ 1.5 hours

  • Topics: Key exam topics, sample questions, study tips.

  • Hands-on: Practice AI-900 mock exam and review detailed answers.

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Job Outlook

  • Azure AI Fundamentals certification is an entry point to roles such as AI Engineer, Data Analyst, and Cloud Developer.

  • Average starting salaries range from $70K–$95K USD for certified professionals.

  • Demand is growing in industries adopting AI solutions—healthcare, finance, retail, and government.

  • Certification validates cloud-based AI skills, opening opportunities in consulting and enterprise AI teams.

Explore More Learning Paths

Build a strong foundation in AI and cloud computing with Microsoft Azure through these carefully selected courses designed to prepare you for certification and practical applications in AI.

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FAQs

Do I need prior Azure or cloud experience to take this course?
Basic understanding of cloud concepts is helpful but not required. The course introduces Azure portal navigation and AI resource setup. Step-by-step labs guide learners through Azure Cognitive Services. Prior IT or programming knowledge can help but is optional. Suitable for beginners aiming to start with cloud-based AI.
Will this course prepare me for the AI-900 certification exam?
Yes, it covers all key AI-900 exam objectives. Includes practice questions and mock exams with detailed answers. Teaches core AI, ML, computer vision, NLP, and conversational AI. Focuses on both theory and hands-on lab exercises. Exam readiness tips and strategies are provided in the final module.
Can I build real-world AI applications during this course?
Yes, hands-on labs cover image recognition, sentiment analysis, and chatbots. Students use Azure ML Studio for building simple ML models. Speech, text, and language APIs are applied in practical exercises. Provides experience in deploying AI solutions in the cloud. Labs reinforce learning through end-to-end application building.
Does the course cover Responsible AI and governance practices?
Covers fairness, transparency, privacy, and compliance in AI solutions. Teaches how to use Azure’s Responsible AI dashboard for bias assessment. Provides practical examples for implementing responsible AI. Helps learners understand governance principles for enterprise AI. Essential for AI projects in regulated industries like finance or healthcare.
What career opportunities can I pursue after this course?
Entry-level roles include AI Engineer, Data Analyst, and Cloud Developer. Certification demonstrates cloud-based AI expertise to employers. Growing demand in healthcare, finance, retail, and government sectors. Average starting salaries range from $70K–$95K USD. Strengthens resume for consulting and enterprise AI team opportunities.

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